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data integration

Integrierter Halbleiter-Mikrochip/Mikroprozessor auf einer blauen Schaltung.
Nahaufnahme einer Gruppe von blauen Kommunikations-Motherboards.
\\ data integration \\

During data integration, data from different sources is merged, combined and stored in a suitable format.

Integrated data helps companies make more accurate and informed decisions

Incorrect decisions caused by inconsistent or incomplete data are minimized.

Data integration speeds up access to data and optimizes the data analysis process. This increases the efficiency of companies.

\\ Providing companies with flexibility and improved performance \\

The integration of data into Customer Relationship Management (CRM) systems enables more comprehensive management of customer data.

Data integration helps companies to improve their risk management processes by bringing together data from different sources.

  • Flexibility & Cost Savings
  • Business Continuity
Contact Us

Interaction

Data transmission

Repair

Optimization

Route guidance

Fuse

\\ Maintaining more service, capturing the future\\

\ \ Companies offer flexibility and improved performance\\

Strategic approach for companies that draw their strength from diversity.

Integrated data supports companies’ strategic planning processes and helps them to make forecasts for the future.

Illustration des Datenkonzepts.

Data Integration Consulting

Our consulting services are designed to optimize your current data infrastructure or build a new, efficient integration system from the ground up. We’ll design a flexible, cost-effective solution architecture, recommend the best tools, and establish a secure, compliant data management framework.

Illustration des Konzepts von sozialen Medien.

Data Integration Implementation

Whether you need to set up and customize a data integration platform or develop custom software components like ETL pipelines and APIs, we have you covered. We can also implement a comprehensive data warehousing and analytics system tailored to your unique requirements.

Konzeptuelle Vektorillustration eines Managementinformationssystems.

Data Integration Support

Our support services ensure the long-term stability of your data integration solution, addressing troubleshooting needs and evolving the system as requirements change. We also monitor and streamline data quality management processes to maintain data accuracy and consistency.

Data Integration Methods

Data Integration
ETL
ELT
Virtualization
Propagation

Select a method to learn more

Click on one of the integration methods in the wheel above to see detailed information.

Data Integration Deployment Models

On-Premises
Best for:
Legacy systems that are difficult to integrate in a cloud environment or organizations with strict data hosting policies (e.g., healthcare, defense).
What you pay for:
Software licenses (e.g., Informatica, Oracle Data Integrator), hardware, and IT resources for setup and maintenance.
Common challenge:
Scalability limitations due to the need for additional hardware.
How we solve it:
We parallelize tasks across servers to increase processing power and use solid-state drives and in-memory caching to reduce latency.
Cloud
Best for:
Handling growing data volumes, enabling easy access for distributed teams, and leveraging cloud platforms for data analytics, machine learning, and AI.
What you pay for:
Subscription fees (e.g., AWS Glue) and cloud resource consumption based on usage, along with IT resources for maintenance.
Common challenge:
Vendor lock-in.
How we solve it:
By using common data formats (e.g., JSON, XML) for cross-cloud portability and incorporating open-source tools to avoid dependency on specific cloud vendors.
Hybrid (Cloud + On-Premises)
Best for:
Companies looking to gradually move from on-premises to cloud infrastructure or those needing to retain some data on-premises due to security or regulatory concerns.
What you pay for:
Costs associated with both on-premises and cloud solutions, along with IT support for implementation and maintenance.
Common challenge:
Data consistency between cloud and on-premises systems.
How we solve it:
We implement data replication and synchronization strategies to maintain consistent data updates across both environments.

Commitment to True Project Success

Discover How We Achieve This

1. Data Integration Services in Stuttgart, Ludwigsburg, Frankfurt, Mannheim, Karlsruhe, Heidelberg, Freiburg, Nuremberg, and Munich

In economically strong regions such as Stuttgart, Ludwigsburg, Frankfurt, Mannheim, Karlsruhe, Heidelberg, Freiburg, Nuremberg, and Munich, efficient data integration is becoming increasingly important. Companies need to reliably and securely combine data from various sources — whether cloud-based or on-premises. Darksn supports you in implementing modern data integration strategies tailored to your region and industry.

Data Integration Data Solutions Cloud Integration

2. ETL and ELT Technologies for Structured Data Flows

For building automated data pipelines, we use market-leading technologies such as:

• Apache NiFi (graphical data flow management)

• Talend Data Integration (open-source ETL solution)

• Azure Data Factory, AWS Glue, Google Dataflow (cloud-native ELT/ETL platforms)

These tools enable reliable connection of ERP, CRM, and third-party systems — ideal for companies in cities like Mannheim or Freiburg.

CRM Processes Azure Data Factory AWS Glue

3. API-Based Integration and Hybrid Connections

Using modern API management platforms, diverse systems can be flexibly integrated. Platforms include:

• MuleSoft Anypoint Platform

• Boomi by Dell Technologies

This allows us to realize multi-cloud integrations, microservices connections, and SaaS linkages — especially relevant in innovation hubs like Munich and Karlsruhe.

API Development Multi-Cloud Integrations SaaS Integration

4. Real-Time Data Processing with Kafka, Pub/Sub & Co.

For event-based data integration and streaming, we rely on:

• Apache Kafka & Confluent

• Google Pub/Sub

• AWS Kinesis

• Azure Event Hubs

These solutions are ideal for companies with high data volumes — e.g., in Frankfurt or Nuremberg.

5. Data Quality, Security & Governance

Reliable integration starts with clean data. Our tools and methods include:

• Talend Data Quality, OpenRefine (for clean data foundation)

• Informatica MDM, SAP MDG (for master data management)

• GDPR-compliant access control & encryption with Azure, Google Cloud, AWS

This guarantees integrity, protection, and transparency of your data landscape — also in Ludwigsburg or Heidelberg.

SAP Data Governance

6. Your Partner for Scalable Data Integration: Darksn

As a specialist in data architecture, Darksn helps companies throughout Southern Germany build robust and future-proof integration solutions — whether for reporting, BI, IoT, or analytics.

From Stuttgart to Munich — we integrate your data reliably, securely, and efficiently.

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